what will you do ?
- collaborate with leadership to define and execute an AI roadmap that aligns with business priorities
- identify and drive high-impact ML initiatives that improve efficiency, decision-making, or automation
- stay ahead of the curve in AI/ML advancements and evaluate emerging technologies for potential business applications
- act as a thought leader in AI/ML, influencing both technical and strategic directions
- design and implement generic ML solutions and platforms that can be leveraged across multiple use cases
- work cross-functionally with product, engineering, and business teams to ensure ML solutions drive measurable business value
- define and own the key NFR metrics including uptime, latency, reliability, quality and accuracy of the ml models and systems.
- provide technical mentorship and guidance to data scientists and ML engineers at all levels
- contribute to research & innovation, including publishing papers, filing patents, or presenting findings at industry conferences.
you should apply if you possess the following
- must have
- 12+ years of experience in machine learning, deep learning, or statistical modeling, with a track record of delivering ML solutions at scale
- strong breadth and depth in different ML paradigms
- good at managing stakeholders across product, business, engineering, infrastructure and data, excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical stakeholders, experience influencing leadership and driving data-led decisions.
- strong coding and system design capabilities for scalable AI.
- experience in cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps tools.
- proven ability to work with large-scale datasets and distributed computing frameworks (Spark etc.)
- you seek high ownership, independent environments, and feedback-oriented cultures
- should have
- experience in large scale consumer tech company working on fintech, personalisation, underwriting etc
- experience building platforms such as ML platform or experimentation platform
- nice to have
- understanding of data security and compliance regulations
- Published research in ML/AI or patents